Instructions to use unsloth/Mistral-Nemo-Base-2407 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use unsloth/Mistral-Nemo-Base-2407 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="unsloth/Mistral-Nemo-Base-2407")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("unsloth/Mistral-Nemo-Base-2407")
model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Base-2407")

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use unsloth/Mistral-Nemo-Base-2407 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "unsloth/Mistral-Nemo-Base-2407"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "unsloth/Mistral-Nemo-Base-2407",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/unsloth/Mistral-Nemo-Base-2407

SGLang

How to use unsloth/Mistral-Nemo-Base-2407 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "unsloth/Mistral-Nemo-Base-2407" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "unsloth/Mistral-Nemo-Base-2407",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "unsloth/Mistral-Nemo-Base-2407" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "unsloth/Mistral-Nemo-Base-2407",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Studio new

How to use unsloth/Mistral-Nemo-Base-2407 with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for unsloth/Mistral-Nemo-Base-2407 to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for unsloth/Mistral-Nemo-Base-2407 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for unsloth/Mistral-Nemo-Base-2407 to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="unsloth/Mistral-Nemo-Base-2407",
    max_seq_length=2048,
)

Docker Model Runner
How to use unsloth/Mistral-Nemo-Base-2407 with Docker Model Runner:
```
docker model run hf.co/unsloth/Mistral-Nemo-Base-2407
```

difference

by ehartford - opened Jul 19, 2024

Discussion

ehartford

Jul 19, 2024

what is the difference between this and mistralai/Mistral-Nemo-Base-2407 ?
is it just a copy, or did you change something?

RaccoonOnion

Jul 19, 2024

Same question here too. The file size looks the same

danielhanchen

Unsloth AI org Jul 19, 2024

Oh the same, but no need for tokens :) The BnB ones are the different ones :) https://huggingface.co/unsloth/Mistral-Nemo-Base-2407-bnb-4bit and https://huggingface.co/unsloth/Mistral-Nemo-Instruct-2407-bnb-4bit

We did work with the HF team to fix some issues with the tokenizer, so that might be different from old commits, and our own here is the latest version

gghfez

Aug 7, 2024

Thanks, these are useful when I cbf with my token

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